Snowflake (SNOW)

Investment Review After Q1 FY2027 Earnings (2026.05.27)
TL;DR
Snowflake is the leading cloud data platform — analytics + AI workloads on a consumption-based model — now layering AI agents (Snowflake Intelligence, Cortex Code) on top of the data plane. Just reported Q1 FY2027 product revenue $1.334B (+34% YoY), accelerating 400bps from Q4 with NRR 126%; non-GAAP OM 12% (+300bps YoY) — exceptional beat. Q2 FY2027 guided $1.415-1.42B (+30% YoY) and FY27 raised to $5.84B (+31%, from prior +27%) — strong acceleration. Stock $175 with N/M P/E(ttm) (GAAP loss; ~6.5x revenue), +16% post last quarter end and ripping +37% after-hours to $241 on the beat — pricing in AI-driven re-rate but still requires Coco monetization to compound.

Summary

FindingAssessment
5-Year Stock ReturnStock currently $175, vs. $281 (5 years ago, pandemic peak). Revenue grew 5x ($592M→$5.0B TTM) but GAAP OP loss persists at -$1.3B. P/E not applicable. Stock whipsawed from $115 trough Oct 2024 to $226 Jul 2025 to $151 Apr 2026 to $175 today (with AH $241 on AI beat).
Business ModelSTRONG. Cloud data platform with consumption-based pricing. $5.0B TTM revenue, 13,912 customers, RPO +38% YoY. Runs across AWS/Azure/GCP — new $6B 5-yr AWS deal. 75% non-GAAP product GM. Data gravity + marketplace ($7B AWS lifetime) create switching costs. Expanding into AI agents (Coco), transactional DB, observability.
Competitive MoatNARROW Data platform stickiness real — intelligence layer moving into Snowflake via Coco + Snowflake Intelligence (the agentic control plane). Data sharing + marketplace create network effects AI reinforces. Q1 momentum suggests Snowflake is winning a piece of AI orchestration. Databricks remains the primary competitive threat.
Past 5-YR DriversRevenue 5x growth drove non-GAAP OM from negative to 12% (Q1 FY27). SBC declined from 60%+ to ~30% of revenue. Large customer base now 64 >$10M and 79 >$1M TTM. But GAAP OP flat at -$1.3B — SBC consumes most operating leverage.
Recent Stock MoveStock at $175 today, +16% post last quarter end from $151 close. After-hours $241 (+37%) on Q1 beat + FY27 raise. Product revenue +34% (vs +30% Q4), NRR 126%, Coco at 7,100+ accounts. Selloff in early 2026 (-31% Q1 alone) on pre-print AI uncertainty; Q1 results re-rated the multiple.
Revenue TrendDECELERATING Rev YoY: 33% (Q1 2027) → 31% (Q2 2027E). Product revenue specifically: +34% Q1 to +30% Q2 guide. FY27 raised to +31% (from +27% prior). Coco monetization is the new lift; comps get tougher in H2.
Margin TrendEXPANDING OM%: -23% (Q1 2027) → -22% (Q2 2027E). Non-GAAP OM 12% in Q1 (+300bps YoY); FY27 non-GAAP OM raised to 13.5% from 12.5%. Path to GAAP breakeven requires SBC<20%.
TTM OP TrajectoryACCELERATING TTM OP QoQ: -8% (Q1 2027) → -0% (Q2 2027E). TTM OP -$1,313M. Loss stabilizing as non-GAAP scaling; first sequential improvement in 5 quarters.
Key OpportunitiesCortex Code at 7,100+ accounts in 4 months (fastest product ever). Snowflake Intelligence accounts +2x QoQ. FY27 guide raised mid-year (+4pp). $6B AWS deal + $200M OpenAI + Natoma M&A extend moat. NRR back to 126% (+2pp QoQ). 46 new >$1M customers in Q1 (vs 26 yr-ago).
Key RisksGAAP losses -$1.3B, $10B+ accumulated deficit. Databricks IPO could reframe multiple. AI products have lower GM than core. Coco monetization sustainability untested — Q1 may include one-time GA enthusiasm. Cost-governance becomes essential as Intelligence scales to thousands of users.
CatalystsQ2 FY27 guided $1.415-1.42B (+30% YoY). Snowflake Summit + Investor Day (June 2026) — long-term targets, Coco/Intelligence demos, Natoma integration roadmap. Cloud runtime GA for autonomous agents. Continued Coco account growth from 7,100+ today.
P/E(ttm) ValuationNOT APPLICABLE (GAAP loss). Price/Revenue ~6.5x at $175 (~8x at after-hours $241); Price/Non-GAAP FCF ~30x. On non-GAAP, SNOW trades at a reasonable multiple for a 34% grower with 75% gross margins. The stock is a bet on AI-driven consumption acceleration (Coco compounding) and SBC normalization. After-hours +37% suggests market is pricing in the Coco re-rate.

Q1 FY2027 Key Data (Feb-Apr 2026), reported 2026.05.27

Key Takeaways from Earnings Call

Key Segments and Revenue Mix (TTM Q1 FY2027)

Revenue TypeRevenue% of TotalKey Details
Product Revenue$5.0B (TTM)~95%Consumption-based compute, storage, AI inference. Q1 +34% YoY. Non-GAAP product GM 75%. NRR 126% (+2pp QoQ). 13,912 customers; 79 >$1M TTM.
Professional Services$237M (TTM)~5%Implementation, training, consulting. Typically lower margin. AI rollouts driving services attach.

Business Model

SUPPLIERS

AWS (primary; new $6B 5-yr deal)
Microsoft Azure
Google Cloud Platform
AI model providers (Anthropic, OpenAI — $200M partnership)
Note: Cloud providers are also competitors

Compute / Storage
SNOWFLAKE

Data Cloud platform
Cortex AI & Intelligence (agentic AI)
Snowpark (ML/development)
Marketplace ($7B AWS lifetime sales)
$5.0B TTM rev, 13,912 customers, RPO +38% YoY

Consumption / Subscriptions $ Revenue
CUSTOMERS

13,912 total customers
+13 Global 2000 in Q1 (vs +4 yr ago)
79 customers >$1M TTM (+46 in Q1)
64 customers >$10M (+8 in Q1)
Financial services, tech, retail, healthcare

Moat Assessment: NARROW

Stock vs. Earnings — 5-Year Performance

Chart 1: Stock vs TTM OP & FCF

Past 5-Year Key Drivers

Quarterly Key Metrics

USDQ1'25Q2'25Q3'25Q4'25Q1'26Q2'26Q3'26Q4'26Q1'27Q2'27E
Quarter EndApr 24Jul 24Oct 24Jan 25Apr 25Jul 25Oct 25Jan 26Apr 26Jul 26
Stock Price$161$143$115$154$146$224$226$219$151$175
Stock QoQ-15%-11%-20%+34%-5%+53%+1%-3%-31%+16%
Rev YoY+33%+29%+28%+27%+26%+32%+29%+30%+33%+31%
OM%-42%-41%-37%-39%-43%-30%-27%-25%-23%-22%
R40 (Rev YoY + OM%)-9%-12%-9%-12%-17%+2%+2%+5%+10%+9%
TTM OP ($M)-1,171-1,241-1,328-1,438-1,536-1,521-1,502-1,434-1,313-1,311
TTM OP QoQ+8%+6%+7%+8%+7%-1%-1%-5%-8%+0%
FCF/OP ttm-73%-68%-62%-64%-49%-49%-52%-78%-89%-112%
Debt/EBITDA1.6x1.9x17.3x16.1x19.5x13.1x9.6x7.8x4.9x4.9x
P/E(ttm)

Recent Stock Performance & Drivers

Opportunities

Challenges

Next 12 Months

Next 12-24 Months

Core Metrics Scorecard

Q3'22Q4'22Q1'23Q2'23Q3'23Q4'23Q1'24Q2'24Q3'24Q4'24Q1'25Q2'25Q3'25Q4'25Q1'26Q2'26Q3'26Q4'26Q1'27Q2'27E
Quarter EndOct 21Jan 22Apr 22Jul 22Oct 22Jan 23Apr 23Jul 23Oct 23Jan 24Apr 24Jul 24Oct 24Jan 25Apr 25Jul 25Oct 25Jan 26Apr 26Jul 26
R40 > 40%
R40 accelerate
TTM OP QoQ > 10%
TTM OP QoQ accelerate
TTM FCF/OP > 60%
Debt/EBITDA < 3.5
Total Passes22131311212121010111
Stock QoQ+25%+12%-32%-39%+22%-20%+14%+14%-14%+25%-15%-11%-20%+34%-5%+53%+1%-3%-31%+16%
P/E(ttm)

Chart: R40 vs Stock Price (Since 2020)

Chart 2: R40 vs Stock Price

Chart: Scorecard Total Passes vs Stock Price (Since 2020)

Chart 3: Total Passes vs Stock Price

Q4 FY2026 Key Data, reported 2026.02.25

  • Revenue +30% YoY; non-GAAP product GM 76%; non-GAAP OM 10.5% (up from 6%). TTM OP -$1.43B (GAAP loss not improving in absolute terms). SBC at 34% of revenue ($1.6B) is the dominant cost.
  • RPO +42% YoY ($9.8B); 7 nine-figure deals in Q4. Largest deal ever >$400M TCV. 46% of RPO expected within 12 months — $4.5B of near-term revenue visibility.
  • AI accelerators: Snowflake Intelligence at 2,500 accounts; Cortex Code at 4,400+ customers. AI revenue run rate crossed $100M. AI influenced 50% of bookings in Q3 FY2026. TAM expanding toward $355B by CY2029.

Key Takeaways from Earnings Call

  • AI is the most promising growth catalyst. Snowflake Intelligence (agentic AI on enterprise data) reached 2,500 accounts in just 2 quarters — the fastest adoption ever; Cortex Code (AI coding agent) has 4,400+ customers and accelerates data engineering 10x. AI revenue run rate crossed $100M; AI influenced 50% of bookings in Q3 FY2026.
  • RPO acceleration + Observe + Postgres expand the platform. RPO +42% YoY with 7 nine-figure deals (vs 2 a year ago) and the largest deal ever (>$400M TCV) signal lengthening enterprise commitments. Observe acquisition ($600M) adds AI-powered observability ($50B TAM); Snowflake Postgres + Openflow expand from analytics-only to operational/real-time.
  • GAAP losses + Databricks + data-layer-vs-AI-layer battle are the bear case. GAAP losses of -$1.4B with $9.5B accumulated deficit; SBC at 34% of revenue would still produce GAAP losses at the guided 27% level. Databricks (private, ~$10B+ ARR, growing 50%+) has more AI-native architecture and is the default for many ML/AI teams.
Source: SEC EDGAR annual and quarterly filings, company earnings conference calls and presentations.
Disclaimer: This report is for educational purposes only. NO investment advice.